{"id":"https://openalex.org/W7100735806","doi":null,"title":"Edmonton, May-June 2003 Learning to Paraphrase: An Unsupervised Approach Using Multiple-Sequence Alignment","display_name":"Edmonton, May-June 2003 Learning to Paraphrase: An Unsupervised Approach Using Multiple-Sequence Alignment","publication_year":2014,"publication_date":"2014-01-29","ids":{"openalex":"https://openalex.org/W7100735806"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.413.4249","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.413.4249","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.columbia.edu/~kapil/documents/candidacy_papers/barzilay03.pdf","raw_type":"text"},"volume":null,"type":"article","indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010124873","display_name":"Regina Barzilay","orcid":"https://orcid.org/0000-0002-2921-8201","observed_orcids":["https://orcid.org/0000-0002-2921-8201"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Regina Barzilay","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Lillian Lee","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lillian Lee","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.63895313,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.0017999999690800905,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.0006000000284984708,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"unsupervised learning","score":0.8289999961853027},{"id":"https://openalex.org/keywords/multiple-sequence-alignment","display_name":"multiple sequence alignment","score":0.9950000047683716},{"id":"https://openalex.org/keywords/comparable-corpora","display_name":"comparable corpora","score":0.8259999752044678},{"id":"https://openalex.org/keywords/text-to-text-generation","display_name":"text-to-text generation","score":0.824999988079071},{"id":"https://openalex.org/keywords/paraphrase-generation","display_name":"paraphrase generation","score":0.5809999704360962}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7260000109672546},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6754000186920166},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5382999777793884},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4846000075340271},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4221999943256378},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.3926999866962433},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3492000102996826},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.3089999854564667},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2946999967098236},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.29409998655319214},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2838999927043915}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.413.4249","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.413.4249","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.columbia.edu/~kapil/documents/candidacy_papers/barzilay03.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7096971357","https://openalex.org/W2953369829","https://openalex.org/W2129468719","https://openalex.org/W7095241202","https://openalex.org/W2107130271","https://openalex.org/W1980776243","https://openalex.org/W7095435727","https://openalex.org/W2003677545","https://openalex.org/W7149586721","https://openalex.org/W4392229081"],"abstract_inverted_index":{"We":[0],"address":[1],"the":[2,66],"text-to-text":[3],"generation":[4],"problem":[5],"of":[6,38,60],"sentence-level":[7],"paraphrasing":[8,39],"\u2014":[9],"a":[10,36],"phenomenon":[11],"distinct":[12],"from":[13,30],"and":[14,46],"more":[15],"difficult":[16],"than":[17],"word-":[18],"or":[19],"phrase-level":[20],"paraphrasing.":[21],"Our":[22],"approach":[23],"applies":[24],"multiple-sequence":[25],"alignment":[26],"to":[27,50,54],"sentences":[28],"gathered":[29],"unannotated":[31],"comparable":[32],"corpora:":[33],"it":[34],"learns":[35],"set":[37],"patterns":[40,53],"represented":[41],"by":[42],"word":[43],"lattice":[44],"pairs":[45],"automatically":[47],"determines":[48],"how":[49],"apply":[51],"these":[52],"rewrite":[55],"new":[56],"sentences.":[57],"The":[58],"results":[59],"our":[61],"evaluation":[62],"experiments":[63],"show":[64],"that":[65],"system":[67],"derives":[68],"accurate":[69],"paraphrases,":[70],"outperforming":[71],"baseline":[72],"systems.":[73],"1":[74]},"counts_by_year":[],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2025-10-27T00:00:00"}